Job Information
Meta Research Scientist, Generative AI (PhD) in San Francisco, California
Summary:
Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models.
Required Skills:
Research Scientist, Generative AI (PhD) Responsibilities:
Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large and globally distributed team.
Contribute to publications and open-sourcing efforts.
Help identify long-term ambitious research goals as well as intermediate milestones.
Prioritize research that can be applied to Meta's product development.
Play a significant role in healthy cross-functional collaboration.
Minimum Qualifications:
Minimum Qualifications:
Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
Experience writing software and executing complex experiments involving large AI models and datasets.
Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
Direct experience in generative AI and LLM research.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Preferred Qualifications:
Preferred Qualifications:
2+ years of work experience in a university or industry lab, in a role with primary emphasis on AI research.
First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
Experience in developing and debugging in Python.
Experience working with PyTorch or TensorFlow.
Public Compensation:
$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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